Majorizing measures without measures

By Michel Talagrand. 2001

70 citations recorded by the source corpus.

Subfields: Applied Mathematics, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/f6f8b2bcbaefa66aa7ab62b6fc5bab3885726112

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Jonathan E. Taylor
2. Robert J. Adler
3. Vladimir Spokoiny
4. Keith J. Worsley
5. Thorsten Dickhaus
6. Mario Wschebor
7. Jean-Marc Azaïs

In Mathematical Physics

1. Vladimir Spokoiny
2. Jonathan E. Taylor
3. Robert J. Adler
4. Henry Lam

Citations in the corpus

• Random Fields and Geometry (2007, methodology): “To circumvent this problem, Talagrand recently [146] gave a recipe on how to wield the technique without the need to explicitly compute a majorising measure.”
• Parametric estimation. Finite sample theory (2011, methodology): “We, however, follow the more recent approach inspired by the notions of generic chaining and majorizing measures due to M. Talagrand; see e.g. Talagrand (1996, 2001, 2005).”